Package index • concurve

Statistical Computations Compute consonance and surprisal distributions for a wide range of scenarios, along with likelihood functions.
`concurve` `concurve-package`	A description of the `concurve` `R` package
`curve_analytic()`	Analytic Consonance Functions From Summary Statistics
`curve_boot()`	Generate Consonance Functions via Bootstrapping
`curve_corr()`	Consonance Functions for Correlations
`curve_gen()`	Consonance Functions For Linear Models, Generalized Linear Models, and Robust Linear Models
`curve_lik()`	Compute Profile Likelihood Functions
`curve_lmer()`	Consonance Functions For Linear & Non-Linear Mixed-Effects Models.
`curve_mean()`	Consonance Functions For Mean Differences
`curve_meta()`	Consonance Functions For Meta-Analytic Data
`curve_model()`	Construct Consonance Functions from Fitted Models
`curve_region()`	Confidence In A Parameter Region
`curve_rev()`	Reverse Engineer Consonance / Likelihood Functions Using the Point Estimate and Confidence Limits
`curve_rstar()`	Compute Second-Order Consonance Functions via the r* Statistic
`curve_stan()`	Consonance Functions From Monte Carlo Confidence Distributions
`curve_stan_fit()`	Sample a Stan Model and Build a Consonance Function
`curve_surv()`	Consonance Functions For Survival Data
`curve_wrap()`	Construct Consonance Functions from Any CI-Producing Function
`curve_from_ratio()`	Construct Consonance Function from Ratio Estimate
`curve_from_se()`	Construct Consonance Function from Standard Error
`concurve_stan_file()`	Locate Stan Programs Bundled With concurve
Database Integration Connect to databases and construct consonance functions from query results.
`curve_snowflake()`	Construct Consonance Functions from Snowflake Query Results
`curve_snowflake_batch()`	Batch Process Multiple Snowflake Queries for Consonance Functions
Statistical Graphics Plot the overall functions that were computed such as the consonance, surprisal, and likelihood functions.
`ggcurve()`	Plots Consonance, Surprisal, and Likelihood Functions
`curve_compare()`	Compare Two Functions and Produces An AUC Score
`plot_compare()`	Graph and Compare Consonance, Surprisal, and Likelihood Functions
`curve_overlap()`	Calculate Overlap Between Consonance Functions
`plot_multi()`	Plot Multiple Consonance Functions for Comparison
Statistical Reporting Display the tables showing relevant statistics from the initial computations.
`curve_table()`	Produce Tables For concurve Functions
`curve_summary()`	Generate Summary Statistics for Consonance Objects
Data Export Export consonance data to other tools and formats.
`export_for_powerbi()`	Export Consonance Data for Power BI
Likelihood Functions Construct likelihood, log-likelihood, profile likelihood, and deviance functions from fitted models, and plot them.
`as_curve_lik()`	Package A Log-Likelihood Grid As A concurve Likelihood Object
`curve_lik_glm()`	Profile Likelihood Function For A Model Coefficient
`curve_lik_exact()`	Exact Likelihood Functions For Common Designs
`curve_mpl()`	Compute Modified Profile Likelihood Functions
`curve_support()`	Support (Likelihood) Intervals From A Likelihood Function
`construct_likelihood()`	Construct Likelihood Function for Statistical Models
`plot(<likelihood_function>)`	Plot likelihood function
`ggplot_likelihood()`	Plot likelihood using ggplot2
`plotly_likelihood()`	Interactive likelihood plot
`plot_all_parameters()`	Plot likelihood for all parameters
`plot_ci_levels()`	Plot likelihood with multiple confidence levels
`plot_profile_vs_wald()`	Compare profile and Wald confidence intervals
Likelihood Function Methods S3 methods for objects returned by construct_likelihood().
`coef(<likelihood_function>)`	Extract coefficients from a likelihood function
`confint(<likelihood_function>)`	Confidence intervals for likelihood function parameters
`logLik(<likelihood_function>)`	Extract log-likelihood from a likelihood function
`print(<likelihood_function>)`	Print a likelihood function object
`print(<summary.likelihood_function>)`	Print a likelihood function summary
`summary(<likelihood_function>)`	Summarize a likelihood function object
`vcov(<likelihood_function>)`	Extract variance-covariance matrix from a likelihood function
Miscellaneous Functions Some internal helper functions.
`RobustMin()`	Robust Min, an alternative to max() that doesn't throw a warning
`RobustMax()`	Robust Max, an alternative to max() that doesn't throw a warning

Reference

Statistical Computations

Database Integration

Statistical Graphics

Statistical Reporting

Data Export

Likelihood Functions

Likelihood Function Methods

Miscellaneous Functions